Posted:1 day ago|
Platform:
On-site
Full Time
In this role, The Data Scientist will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights and solve complex business problems. The role involves data collection, cleaning, exploratory analysis, feature engineering, model development, and integration of AI/ML solutions into dashboards and applications. The Data Scientist collaborates with cross-functional teams to ensure models are aligned with business objectives, reproducible, and scalable.
This role supports initiatives such as demand forecasting, classification, workforce analytics. By leveraging predictive modelling, NLP, and AI-driven insights, the Data Scientist helps Client make data-driven decisions, optimize operations, and enhance customer and employee experiences across its multinational business functions.
.Bachelor's or Master's degree in data science, Computer Science, Statistics, Mathematics, or a related quantitative field.
.Relevant year ofhands-on experience in data analysis, machine learning, or AI projects, preferably in corporate or academic settings.
.Certification in areas like GenAI, Databricks etc.
.Hands-on experience in data preprocessing, exploratory data analysis, and feature engineering to support ML and AI model development.
.Knowledge of machine learning, deep learning, and NLP techniques for classification, regression, clustering, and predictive modelling.
.Proficiency in Python, SQL, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn), and familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools.
.Experience integrating models into dashboards, analytics tools, and prototype AI applications.
.Familiarity with MLOps practices, model monitoring, CI/CD workflows, and cloud platforms (AWS, Azure, GCP).
.Ability to translate business problems into data-driven solutions and communicate insights to stakeholders effectively.
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